Smartphone-Enabled Cough Detection in Severely Exacerbated COPD: An Exploratory Pilot Study
Automated, contact-free, smartphone-enabled cough detection was feasible in COPD patients hospitalized for AECOPD. Cough counts declined over time and were associated with relevant clinical and biochemical markers. Our approach enables telemonitoring of AECOPD in near real-time and warrants further development to possibly establish cough count as an early digital biomarker for emerging AECOPD, allowing swift intervention and associated cost reductions.
Authors
- Florent Baty (ORCID: https://orcid.org/0000-0002-1425-0428)
- Jonathan Leathers
- M Brutsche
- Filipe Barata (ORCID: https://orcid.org/0000-0002-3905-2380)
- David Cleres (ORCID: https://orcid.org/0000-0002-7534-7960)
- Maximilian Boesch
- Elgar Fleisch
- Julia Herrmann
- Frank Rassouli
Institutions
- University of St.Gallen (CH)
- Kantonsspital St. Gallen (CH)
- ETH Zurich (CH)
- Institute of Technology Management (IN)
- Training Programs in Epidemiology and Public Health Interventions Network (US)
Publication Details
- Journal
- COPD Journal of Chronic Obstructive Pulmonary Disease
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1080/15412555.2026.2614152
- Primary Topic
- Respiratory and Cough-Related Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00